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+# Looker Studio BigQuery Setup
+
+This document provides the configuration and steps to manually connect Looker Studio to the project's BigQuery data source.
+
+## Datasource Configuration
+
+Below are the parameters for the BigQuery data source. You will need to copy and paste these values into the Looker Studio interface.
+
+```json
+{
+  "type": "bigquery",
+  "projectId": "vauco-saas-project",
+  "datasetId": "osvauco_telemetry",
+  "tableId": "daily_usage_metrics"
+}
+```
+
+## Manual Setup Instructions
+
+Since Looker Studio does not have an API for programmatically creating data sources, you must follow these manual steps:
+
+1.  **Go to Looker Studio:** Navigate to [https://lookerstudio.google.com/](https://lookerstudio.google.com/).
+2.  **Create a new Data Source:**
+    *   Click on **Create** in the top left corner.
+    *   Select **Data Source**.
+3.  **Select the BigQuery Connector:**
+    *   From the list of Google Connectors, choose **BigQuery**.
+4.  **Authorize Access:**
+    *   If prompted, authorize Looker Studio to access your Google Cloud projects.
+5.  **Select Your Project:**
+    *   Under the **My Projects** tab, find and select the project with ID `vauco-saas-project`.
+6.  **Specify the Dataset and Table:**
+    *   For **Dataset**, select `osvauco_telemetry`.
+    *   For **Table**, select `daily_usage_metrics`.
+7.  **Connect:**
+    *   Click the **Connect** button in the top right corner.
+8.  **Verify Schema:**
+    *   Looker Studio will now display the table's schema. Verify that the fields look correct.
+9.  **Create Report:**
+    *   Click **Create Report** to start building your dashboard with the connected data.
+
+You have now successfully connected Looker Studio to your BigQuery table.